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Luckily for us, Python comes with a built-in module called json. It is installed automatically when you install Python and it includes functions to help you work with JSON files and strings.

To use json in our program, we just need to write an import statement at the top of the file. With this line, you will have access to the functions defined in the module. We will use several of them in the examples. To illustrate how some of the most important functions of the json module work, we will use a multi-line string with JSON format.

Particularly, we will use this string in the examples. We will use the string with JSON format to create a Python dictionary that we can access, work with, and modify. To do this, we will use the loads function of the json module, passing the string as the argument. The dictionary has been populated with the data of the JSON string.

Each key-value pair was added successfully. Now let's see what happens when we try to access the values of the key-value pairs with the same syntax that we would use to access the values of a regular Python dictionary:. For example, we can call dictionary methods, add, update, and remove key-value pairs, and more. We can even use it in a for loop. When you use loads to create a Python dictionary from a JSON string, you will notice that some values will be converted into their corresponding Python values and data types.

This table presented in the Python Documentation for the json module summarizes the correspondence from JSON data types and values to Python data types and values:. But sometimes we might need to do exactly the opposite, creating a string with JSON format from an object for example, a dictionary to print it, display it, store it, or work with it as a string.

To do that, we can use the dumps function of the json module, passing the object as argument:. This is an example where we convert the Python dictionary client into a string with JSON format and store it in a variable:. This helps us confirm that, indeed, the original dictionary is now represented as a string with JSON format. A process of type conversion occurs as well when we convert a dictionary into a JSON string.

This table from the Python Documentation illustrates the corresponding values:. If we use the dumps function and we print the string that we got in the previous example, we see:.

To do this automatically, we just need to pass a second argument to specify the number of spaces that we want to use to indent the JSON string:. That's great, right? Now our string is nicely formatted. This will be very helpful when we start working with files to store the data in a human-readable format.

You can also sort the keys in alphabetical order if you need to. Article Contributed By :. Easy Normal Medium Hard Expert. Writing code in comment? Please use ide. Load Comments. What's New. Most popular in Python. Reading and Writing to text files in Python Python program to convert a list to string Different ways to create Pandas Dataframe. More related articles in Python. Viewed 3k times. I am using Python3. Improve this question. Rex5 6 6 silver badges 22 22 bronze badges.

VasP VasP 3 1 1 silver badge 4 4 bronze badges. Add a comment. Active Oldest Votes. Improve this answer. Here is how you can get a response with content using the API Key. Categories Data Formats. Follow json-py json-py Web Site. Mit einem Experten sprechen. User Ratings 5. User Reviews Filter Reviews: All. Json-py is perfect! Very usefull and easy to incorporate in your apps.

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